DOIAbstract
generalized least squares, asymptotic distributions, goodness-of-fit test, multiplier method, reparametrization, idempotent matrix,
generalized least squares, asymptotic distributions, goodness-of-fit test, multiplier method, reparametrization, idempotent matrix,
AbstractThis paper presents a generalization of Rao's covariance structure. In a general linear regr...
Observed differences in phenotypic means between groups such as parents and their offspring or male ...
AbstractThis paper considers three types of problems: (i) the problem of independence of two sets, (...
The vast majority of structural equation models contain no mean structure, that is, the population m...
Mean structures form a basis for mean, covariance, and other forms of moment structure analysis incl...
A model, in which the means and the variance-covariance matrix of observed variables change with an ...
covariance structure analysis, factor analysis, Gauss-Newton, Newton-Raphson, Fisher Scoring, Fletch...
25 pages, 1 article*Generalized Dispersion Matrices for Covariance Structural Analysis* (Henderson, ...
Classical tests about covariance structure are examined in the situation when the population distrib...
The stability of covariance matrix is a major issue in multivariate analysis. As can be seen in the ...
The stability of covariance matrix is a major issue in multivariate analysis. As can be seen in the ...
This paper assesses the performance of regularized generalized least squares (RGLS) and reweighted l...
covariance structure analysis, maximum likelihood estimation, likelihood ratio test, power of the te...
AbstractLet S be a p × p random matrix having a Wishart distribution Wp(n,n−1Σ). For testing a gener...
The mixed model approach to the analysis of repeated measurements allows users to model the covarian...
AbstractThis paper presents a generalization of Rao's covariance structure. In a general linear regr...
Observed differences in phenotypic means between groups such as parents and their offspring or male ...
AbstractThis paper considers three types of problems: (i) the problem of independence of two sets, (...
The vast majority of structural equation models contain no mean structure, that is, the population m...
Mean structures form a basis for mean, covariance, and other forms of moment structure analysis incl...
A model, in which the means and the variance-covariance matrix of observed variables change with an ...
covariance structure analysis, factor analysis, Gauss-Newton, Newton-Raphson, Fisher Scoring, Fletch...
25 pages, 1 article*Generalized Dispersion Matrices for Covariance Structural Analysis* (Henderson, ...
Classical tests about covariance structure are examined in the situation when the population distrib...
The stability of covariance matrix is a major issue in multivariate analysis. As can be seen in the ...
The stability of covariance matrix is a major issue in multivariate analysis. As can be seen in the ...
This paper assesses the performance of regularized generalized least squares (RGLS) and reweighted l...
covariance structure analysis, maximum likelihood estimation, likelihood ratio test, power of the te...
AbstractLet S be a p × p random matrix having a Wishart distribution Wp(n,n−1Σ). For testing a gener...
The mixed model approach to the analysis of repeated measurements allows users to model the covarian...
AbstractThis paper presents a generalization of Rao's covariance structure. In a general linear regr...
Observed differences in phenotypic means between groups such as parents and their offspring or male ...
AbstractThis paper considers three types of problems: (i) the problem of independence of two sets, (...
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